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As a key policy tool for China' s achievement of the goals of reaching peak carbon emissions and carbon neutrality, the carbon emissions trading mechanism has attracted widespread attention for its effect on reducing pollution and carbon emissions. This study incorporated carbon dioxide reduction and environmental pollution control into the same research framework. Based on the panel data of 30 provinces in China from 2010 to 2019, it took the carbon emissions trading mechanism as the policy background and used the improved entropy weight TOPSIS model to calculate the environmental pollution index to measure the local environmental quality and environmental pollution degree. The intersection term of carbon emissions and environmental pollution index was used to characterize the level of pollution reduction and carbon reduction. The difference-in-differences model and the synthetic control method were used to empirically test the pollution and carbon emission reduction effects of the carbon emissions trading mechanism. The results showed that: (1) From the perspective of the average treatment effect of the policy, the carbon emissions trading mechanism reduced the emissions of carbon dioxide and environmental pollutants in the pilot provinces compared with non-pilot provinces. After adding relevant control variables, the level of pollution and carbon reduction in the pilot provinces increased by 16%. From the perspective of the policy effects of pilot individuals, Beijing, Shanghai, Tianjin, and Chongqing performed better; that is, their carbon emissions showed a significant downward trend, followed by Guangdong, while Hubei performed worse. (2) The influential mechanisms and heterogeneity test revealed that the carbon emissions trading system achieved an increase in the synergistic governance level of pollution and carbon reduction through energy consumption restructuring and technological innovation. (3) Meanwhile, the pollution and carbon reduction levels showed regional heterogeneity, with the eastern and western regions performing best and the central region performing poorly. Furthermore, a grey correlation model was used to investigate the relationship between the pollution and carbon reduction levels and the potential for synergistic emission reduction in each province. The results found that the average correlation degree of Shanghai, Guangdong, Guangxi, Guizhou, and Xinjiang was greater than other provinces, showing a higher level and potential. Therefore, it is necessary to accelerate and improve the construction of the national carbon emissions trading market; give full play to the synergistic emissions reduction effects of market-based carbon emissions trading policies on carbon dioxide emissions and environmental pollutants; and accelerate the synergy of carbon emissions trading policies by increasing investment in technological innovation and the transformation and upgrading of energy consumption structures and formulating regionally differentiated carbon emission reduction policies. [ABSTRACT FROM AUTHOR]

Background: Previous studies suggested that thyroid function in the first trimester of gestation played an important role in fetal growth. However, limited clinical data are available to support this relationship in the second trimester of gestation.Objective: We examined the relationship of maternal thyroid function parameters in early second trimester of gestation with birth outcomes in China.Methods: Participating 5016 mother-infant pairs were recruited from the Songjiang District Maternity and Infant Hospital, Shanghai, China, between July and December 2016. Linear regression assessed the associations of thyroid hormones with birthweight. Logistic regression tested the correlations between thyroid hormones and low birthweight, macrosomia, small for gestational age , and large for gestational age infants. Maternal serum TSH, TT3, TT4, FT3, and FT4 concentrations were measured in 16-20 weeks of gestation.Results: TT3 and FT3 were positively associated with birthweight, while TT4 and FT4 were negatively associated with birthweight, respectively. Furthermore, higher TT3 and FT3 were associated with increased risks of LGA infants (OR = 1.48, 95% CI: 1.15-1.9; OR = 1.22, 95% CI: 1.01-1.46), respectively. Higher TT3 was associated with an increased risk of macrosomic infants (OR = 1.35, 95% CI: 1.04-1.74). In contrast, higher FT4 was associated with decreased risks of LGA (OR = 0.87, 95% CI: 0.81-0.93) and macrosomic infants (OR = 0.90, 95% CI: 0.84-0.96), respectively. No associations were found between TSH and any of the outcomes.Conclusions: TT3 and FT3 were positively associated with fetal growth, while TT4 and FT4 were negatively associated with fetal growth. Our findings suggested that thyroid function in early second trimester of gestation is a potential risk factor for abnormal fetal growth. [ABSTRACT FROM AUTHOR]

Abstract PM 2.5 samples in four representative periods were collected from a highly industrialized district in Shanghai, China. The concentrations of PM 2.5 and PM 2.5 -bound PAHs were analyzed. Positive matrix factorization (PMF) model was used to identify the potential sources. Relationship between PAHs distribution and meteorological parameters was assessed meanwhile. The incremental lifetime cancer risks (ILCRs) model was applied to quantitatively evaluate the exposure risk of PAHs. Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLT) model was used to track the potential pollution area of PM 2.5 along with a Potential Source Contribution Function (PSCF) and Concentration Weighted Trajectory (CWT) methods. The results showed concentrations of PM 2.5 and PAHs ranged from 14.83 to 185.58 μg/m3, 2.58 to 123.62 ng/m3, respectively. The source apportionment model indicated that traffic emissions were the most important sources in each sampling season, which accounted for 38.44%, 34.48%, 39.04% and 45.03%, respectively. Spearman correlation coefficient showed that PAHs had negative correlation with ambient temperature and relative humidity in some periods, while had no significant correlation with atmospheric pressure and visibility. The average estimated lifetime cancer risk for total PAHs reached 4.7 × 10−5, 4.5 × 10−5 and 4.1 × 10−5, 4.0 × 10−5 to exposed children and adults in winter and autumn, respectively, meaning that PM 2.5 -bound PAHs had high potential risk. HYSPLIT model suggested that monsoon greatly influenced the air quality in both winter and autumn. Graphical abstract Unlabelled Image Highlights • PM 2.5 concentrations were obviously higher than US air quality standards. • PMF identified traffic emissions as the major source of PM 2.5 -bound PAHs. • The relationship between PM 2.5 and PAHs was positive. • ILCRs indicated high cancer risks in autumn and winter. • HYSPLIT showed monsoon greatly influenced the PM 2.5 concentrations. [ABSTRACT FROM AUTHOR]